• DocumentCode
    2750700
  • Title

    Address supply chain visibility from knowledge management perspective

  • Author

    Zhang, N. ; He, W. ; Lee, E.W.

  • Author_Institution
    Singapore Inst. of Manuf. Technol., Singapore
  • fYear
    2008
  • fDate
    13-16 July 2008
  • Firstpage
    865
  • Lastpage
    870
  • Abstract
    Supply chain visibility is an important issue for both academic research and industrial practice. This paper presents a new insight to supply chain visibility for better collaborative decision making from knowledge management perspective. It presents a framework for managing knowledge required for collaborative decisions in supply chain processes. The framework tackles two kinds of knowledge: quantitative knowledge and qualitative knowledge. Quantitative knowledge is discovered from a supply chainpsilas business databases through data mining, and qualitative knowledge like experience and judgment captured from human in the collaborative decision making process. The infusion of quantitative and qualitative knowledge provides better understanding of supply chain processes and the decision contexts for decision makers to make decisions quickly under the pressures of time- and knowledge-based competition. The knowledge is then codified into supply chainpsilas knowledge repository. A knowledge mapping mechanism is also provided in the framework to present visibility to all partners in a supply chain by accessing knowledge from knowledge repository efficiently and effectively at anytime and anywhere.
  • Keywords
    knowledge management; organisational aspects; supply chains; collaborative decision making; data mining; knowledge management; organizational strategy; qualitative knowledge; quantitative knowledge; supply chain visibility; Collaboration; Collaborative work; Data mining; Databases; Decision making; Helium; Humans; Knowledge management; Supply chain management; Supply chains;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Informatics, 2008. INDIN 2008. 6th IEEE International Conference on
  • Conference_Location
    Daejeon
  • ISSN
    1935-4576
  • Print_ISBN
    978-1-4244-2170-1
  • Electronic_ISBN
    1935-4576
  • Type

    conf

  • DOI
    10.1109/INDIN.2008.4618222
  • Filename
    4618222